Soft-decision decoding of a family of nonlinear codes using a neural network
We demonstrate the use of a continuous Hopfield neural network as a K-WinnerTake-All (KWTA) network. We prove that, given an input of N real numbers, such a network will converge to a vector of K positive one components and (N-K) negative one components, with the positive positions indicating the K...
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| Format: | Others |
| Language: | en |
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1991
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| Online Access: | https://thesis.library.caltech.edu/2731/1/Erlanson_ra_1991.pdf Erlanson, Ruth A. (1991) Soft-decision decoding of a family of nonlinear codes using a neural network. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/c855-aj24. https://resolver.caltech.edu/CaltechETD:etd-06252007-080630 <https://resolver.caltech.edu/CaltechETD:etd-06252007-080630> |
Internet
https://thesis.library.caltech.edu/2731/1/Erlanson_ra_1991.pdfErlanson, Ruth A. (1991) Soft-decision decoding of a family of nonlinear codes using a neural network. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/c855-aj24. https://resolver.caltech.edu/CaltechETD:etd-06252007-080630 <https://resolver.caltech.edu/CaltechETD:etd-06252007-080630>